The new modified kernels and weight functions in the generalized Kravchenko-Kotelnikov sampling theorem

Abstract

The report consists of two parts. In the first part the new designs of kernels of the generalized sampling series are proposed. This approach ensures high interpolation properties and good time-and-frequency localization. In the second part the weight functions for improvement of convergence of the generalized sampling series are suggested.